George Bilchev
Impact in
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- IoT and Edge/Fog Computing
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- Human Mobility and Location-Based Analysis
Papers in
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- Caching and Content Delivery 2
- Peer-to-Peer Network Technologies 2
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- Metaheuristic Optimization Algorithms Research 3
- Evolutionary Algorithms and Applications 2
- Co-authors
- Ian C. Parmee (2 shared papers)I. Howard Marshall (2 shared papers)Chris Roadknight (2 shared papers)Nikola Hristov (1 shared paper)Mauro Dell’Amico (1 shared paper)Francesco Maffioli (1 shared paper)Silvano Martello (1 shared paper)James D. Foley (1 shared paper)
- Journals
- Engineering Optimization (1 paper)BT Technology Journal (4 papers)The Mathematical Gazette (1 paper)Lancaster EPrints (Lancaster University) (2 papers)
- Partner nations
- United Kingdom
In The Last Decade
George Bilchev
13 papers receiving 124 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 47
- Transportation 13
- Geography, Planning and Development 9
- Information Systems 32
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by George Bilchev
This map shows the geographic impact of George Bilchev's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by George Bilchev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Bilchev more than expected).
Fields of papers citing papers by George Bilchev
This network shows the impact of papers produced by George Bilchev. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by George Bilchev. The network helps show where George Bilchev may publish in the future.
Co-authors
The 8 scholars most cited alongside George Bilchev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 78 | |
| 2 | 2008 | 13 | |
| 3 | 2003 | 12 | |
| 4 | 1997 | 8 | |
| 5 | 2004 | 6 | |
| 6 | Evolutionary Metaphors for the Bin Packing Problem. | 1996 | 5 |
| 7 | 2002 | 4 | |
| 8 | 2002 | 3 | |
| 9 | 2005 | 2 | |
| 10 | 1999 | 1 | |
| 11 | WWW Cache Modelling Toolbox. | 1999 | 1 |
| 12 | 2008 | 1 | |
| 13 | Modelling and Performance Analysis of Cache Networks. | 1999 | 1 |
About George Bilchev
George Bilchev is a scholar working on Computer Networks and Communications, Artificial Intelligence, Industrial and Manufacturing Engineering, Sociology and Political Science and Electrical and Electronic Engineering, having authored 13 papers that have together received 135 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Caching and Content Delivery (2 papers), Peer-to-Peer Network Technologies (2 papers), Evolutionary Algorithms and Applications (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Multimedia Communication and Technology (2 papers), Vehicular Ad Hoc Networks (VANETs) (1 paper) and Optimization and Packing Problems (1 paper). The work is most often cited by research in Computer Networks and Communications (47 citations), Transportation (13 citations), Geography, Planning and Development (9 citations), Information Systems (32 citations) and Computer Vision and Pattern Recognition (28 citations). George Bilchev has collaborated with scholars based in United Kingdom. Frequent co-authors include Ian C. Parmee, I. Howard Marshall, Chris Roadknight, Nikola Hristov, Mauro Dell’Amico, Francesco Maffioli, Silvano Martello and James D. Foley. Their work appears in journals such as Engineering Optimization, BT Technology Journal, The Mathematical Gazette and Lancaster EPrints (Lancaster University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.